package com.atguigu.tingshu.search.service.impl;

import co.elastic.clients.elasticsearch.ElasticsearchClient;
import co.elastic.clients.elasticsearch._types.FieldValue;
import co.elastic.clients.elasticsearch._types.SortOrder;
import co.elastic.clients.elasticsearch._types.aggregations.Aggregate;
import co.elastic.clients.elasticsearch._types.query_dsl.BoolQuery;
import co.elastic.clients.elasticsearch.core.SearchRequest;
import co.elastic.clients.elasticsearch.core.SearchResponse;
import co.elastic.clients.elasticsearch.core.search.Hit;
import co.elastic.clients.elasticsearch.core.search.Suggestion;
import co.elastic.clients.json.JsonData;
import com.alibaba.fastjson.JSON;
import com.atguigu.tingshu.album.client.AlbumInfoFeignClient;
import com.atguigu.tingshu.album.client.CategoryFeignClient;
import com.atguigu.tingshu.common.constant.RedisConstant;
import com.atguigu.tingshu.common.execption.GuiguException;
import com.atguigu.tingshu.common.result.Result;
import com.atguigu.tingshu.common.util.PinYinUtils;
import com.atguigu.tingshu.model.album.*;
import com.atguigu.tingshu.model.search.AlbumInfoIndex;
import com.atguigu.tingshu.model.search.AttributeValueIndex;
import com.atguigu.tingshu.model.search.SuggestIndex;
import com.atguigu.tingshu.query.search.AlbumIndexQuery;
import com.atguigu.tingshu.search.repository.AlbumIndexRepository;
import com.atguigu.tingshu.search.repository.SuggestIndexRepository;
import com.atguigu.tingshu.search.service.SearchService;
import com.atguigu.tingshu.user.client.UserInfoFeignClient;
import com.atguigu.tingshu.vo.album.AlbumListVo;
import com.atguigu.tingshu.vo.album.AlbumStatMqVo;
import com.atguigu.tingshu.vo.album.AlbumStatVo;
import com.atguigu.tingshu.vo.search.AlbumInfoIndexVo;
import com.atguigu.tingshu.vo.search.AlbumSearchResponseVo;
import com.atguigu.tingshu.vo.user.UserInfoVo;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.annotations.Case;
import org.redisson.api.RBloomFilter;
import org.redisson.api.RedissonClient;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cloud.context.config.annotation.RefreshScope;
import org.springframework.data.elasticsearch.core.suggest.Completion;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;
import org.springframework.util.Assert;
import org.springframework.util.CollectionUtils;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.lang.reflect.Field;
import java.util.*;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.function.Function;
import java.util.stream.Collectors;


@Slf4j
@Service
@RefreshScope
@SuppressWarnings({"all"})
public class SearchServiceImpl implements SearchService {

    @Autowired
    private AlbumInfoFeignClient albumInfoFeignClient;

    @Autowired
    private CategoryFeignClient categoryFeignClient;

    @Autowired
    private UserInfoFeignClient userInfoFeignClient;

    @Autowired
    private AlbumIndexRepository albumIndexRepository;

    @Autowired
    private ThreadPoolExecutor threadPoolExecutor;

    @Autowired
    private ElasticsearchClient elasticsearchClient;

    @Autowired
    private SuggestIndexRepository suggestIndexRepository;

    @Value("${ranking.dimension.array}")
    private String rankingDimensionArray;

    @Autowired
    private RedisTemplate redisTemplate;

    @Autowired
    private RedissonClient redissonClient;

    @Override
    public void upperAlbum(Long albumId) {
        //需要使用AlbumInfoIndex
        AlbumInfoIndex albumInfoIndex = new AlbumInfoIndex();
        //使用多线程查询数据
        CompletableFuture<AlbumInfo> albumInfoCompletableFuture = CompletableFuture.supplyAsync(() -> {
            //要执行的内容
            //赋值 album_info;表数据
            Result<AlbumInfo> albumInfoResult = albumInfoFeignClient.getAlbumInfo(albumId);
            Assert.notNull(albumInfoResult, "查询专辑信息失败");
            AlbumInfo albumInfo = albumInfoResult.getData();
            Assert.notNull(albumInfo, "查询专辑信息失败");
            BeanUtils.copyProperties(albumInfo, albumInfoIndex);
            //获取属性和属性值信息
            List<AlbumAttributeValue> albumAttributeValueVoList = albumInfo.getAlbumAttributeValueVoList();
            //判断
            if (!CollectionUtils.isEmpty(albumAttributeValueVoList)) {
/*                //循环遍历
                List<AttributeValueIndex> attributeValueIndexList = new ArrayList<>();
                for (AlbumAttributeValue albumAttributeValue : albumAttributeValueVoList) {
                    //创建一个对象
                    AttributeValueIndex attributeValueIndex = new AttributeValueIndex();
                    attributeValueIndex.setAttributeId(albumAttributeValue.getAttributeId());
                    attributeValueIndex.setValueId(albumAttributeValue.getValueId());

                    attributeValueIndexList.add(attributeValueIndex);
                }
                //添加属性与属性值集合
                albumInfoIndex.setAttributeValueIndexList(attributeValueIndexList);*/
                List<AttributeValueIndex> attributeValueIndexList = albumAttributeValueVoList.stream().map(albumAttributeValue -> {
                    //创建一个对象
                    AttributeValueIndex attributeValueIndex = new AttributeValueIndex();
                    attributeValueIndex.setAttributeId(albumAttributeValue.getAttributeId());
                    attributeValueIndex.setValueId(albumAttributeValue.getValueId());
                    return attributeValueIndex;
                }).collect(Collectors.toList());
                albumInfoIndex.setAttributeValueIndexList(attributeValueIndexList);
            }
            return albumInfo;
        }, threadPoolExecutor).exceptionally(throwable -> {
            log.error("查询专辑信息失败：{}", throwable.getMessage());
            return null;
        });
        //根据三级分类id 查询视图;albumInfo.getCategory3Id(); 查询视图
        //根据上一个返回的结果并使用；select * from tingshu_album.base_category_view where id = 1001;
        CompletableFuture<Integer> cateCompletableFuture = albumInfoCompletableFuture.thenApplyAsync(albumInfo -> {
            // 远程调用根据三级分类id获取分类数据
            Result<BaseCategoryView> categoryViewResult = categoryFeignClient.getBaseCategoryView(albumInfo.getCategory3Id());
            //判断数据
            Assert.notNull(categoryViewResult, "查询分类数据失败");
            BaseCategoryView baseCategoryView = categoryViewResult.getData();
            Assert.notNull(baseCategoryView, "查询分类数据失败");
            //赋值
            albumInfoIndex.setCategory1Id(baseCategoryView.getCategory1Id());
            albumInfoIndex.setCategory2Id(baseCategoryView.getCategory2Id());
            return 1;
        }, threadPoolExecutor).exceptionally(throwable -> {
            log.error("查询分类数据失败：{}", throwable.getMessage());
            return 0;
        });
        //查询作者信息
        CompletableFuture<Integer> userCompletableFuture = albumInfoCompletableFuture.thenApplyAsync(albumInfo -> {
            //远程调用
            Result<UserInfoVo> userInfoVoResult = userInfoFeignClient.getUserInfoVo(albumInfo.getUserId());
            Assert.notNull(userInfoVoResult, "查询作者信息失败");
            UserInfoVo userInfoVo = userInfoVoResult.getData();
            Assert.notNull(userInfoVo, "查询作者信息失败");
            albumInfoIndex.setAnnouncerName(userInfoVo.getNickname());
            return 1;
        }, threadPoolExecutor).exceptionally(throwable -> {
            log.error("查询作者信息失败：{}", throwable.getMessage());
            return 0;
        });

        //统计信息 根据专辑id查询专辑的统计数据 TODO
        CompletableFuture<Void> statCompletableFuture = CompletableFuture.runAsync(() -> {
            Result<AlbumStatVo> albumStatVoResult = albumInfoFeignClient.getAlbumStat(albumId);
            Assert.notNull(albumStatVoResult, "查询专辑统计数据失败");
            AlbumStatVo albumStatVo = albumStatVoResult.getData();
            Assert.notNull(albumStatVo, "查询专辑统计数据失败");
            albumInfoIndex.setPlayStatNum(albumStatVo.getPlayStatNum());
            albumInfoIndex.setSubscribeStatNum(albumStatVo.getSubscribeStatNum());
            albumInfoIndex.setBuyStatNum(albumStatVo.getBuyStatNum());
            albumInfoIndex.setCommentStatNum(albumStatVo.getCommentStatNum());
        }, threadPoolExecutor);

/*        albumInfoIndex.setPlayStatNum(new Random().nextInt(1000));
        albumInfoIndex.setSubscribeStatNum(new Random().nextInt(1000));
        albumInfoIndex.setBuyStatNum(new Random().nextInt(1000));
        albumInfoIndex.setCommentStatNum(new Random().nextInt(1000));*/
        //设置热度排名
        albumInfoIndex.setHotScore(Double.valueOf(new Random().nextInt(10000)));
        //利用es的api 进行数据保存：albuminfoindex -> es;
        try {
            if (null == albumInfoCompletableFuture.get() || 0 == cateCompletableFuture.get() || 0 == userCompletableFuture.get()) {
                //获取专辑失败
                throw new GuiguException(201, "远程调用获取数据失败");
            }
        } catch (InterruptedException e) {
            throw new RuntimeException(e);
        } catch (ExecutionException e) {
            throw new RuntimeException(e);
        }
        //数据汇总
        CompletableFuture.allOf(cateCompletableFuture, cateCompletableFuture, userCompletableFuture, statCompletableFuture).join();
/*        try {
            //添加到布隆过滤器
            RBloomFilter<Object> bloomFilter = redissonClient.getBloomFilter(RedisConstant.ALBUM_BLOOM_FILTER);
            bloomFilter.add(albumId);
        } catch (Exception e) {
            log.error("添加布隆过滤器失败：{}", e.getMessage());
        }*/
        albumIndexRepository.save(albumInfoIndex);

        //上架题词库
        SuggestIndex suggestIndexInfo = new SuggestIndex();
        //赋值，本质赋值的title
        suggestIndexInfo.setId(UUID.randomUUID().toString().replaceAll("-", ""));
        suggestIndexInfo.setTitle(albumInfoIndex.getAlbumTitle());
        suggestIndexInfo.setKeyword(new Completion(new String[]{albumInfoIndex.getAlbumTitle()}));
        suggestIndexInfo.setKeywordPinyin(new Completion(new String[]{PinYinUtils.toHanyuPinyin(albumInfoIndex.getAlbumTitle())}));
        suggestIndexInfo.setKeywordSequence(new Completion(new String[]{PinYinUtils.getFirstLetter(albumInfoIndex.getAlbumTitle())}));
        suggestIndexRepository.save(suggestIndexInfo);
        //作者
        SuggestIndex autoSuggestIndexInfo = new SuggestIndex();
        autoSuggestIndexInfo.setId(UUID.randomUUID().toString().replaceAll("-", ""));
        autoSuggestIndexInfo.setTitle(albumInfoIndex.getAnnouncerName());
        autoSuggestIndexInfo.setKeyword(new Completion(new String[]{albumInfoIndex.getAnnouncerName()}));
        autoSuggestIndexInfo.setKeywordPinyin(new Completion(new String[]{PinYinUtils.toHanyuPinyin(albumInfoIndex.getAnnouncerName())}));
        autoSuggestIndexInfo.setKeywordSequence(new Completion(new String[]{PinYinUtils.getFirstLetter(albumInfoIndex.getAnnouncerName())}));
        suggestIndexRepository.save(autoSuggestIndexInfo);

    }

    @Override
    public List<String> completeSuggest(String keyword) {
        //编写DSL语句
        SearchResponse<SuggestIndex> searchResponse = null;
        try {
            searchResponse = elasticsearchClient.search(
                    s -> s.index("suggestinfo")
                            .suggest(s1 -> s1.suggesters("suggest_keyword", f -> f.prefix(keyword)
                                            .completion(c -> c.field("keyword").skipDuplicates(true)
                                                    .fuzzy(f1 -> f1.fuzziness("auto"))
                                                    .size(10)))
                                    .suggesters("suggest_keywordPinyin", f -> f.prefix(keyword)
                                            .completion(c -> c.field("keywordPinyin")
                                                    .skipDuplicates(true)
                                                    .fuzzy(f1 -> f1.fuzziness("auto"))
                                                    .size(10)))
                                    .suggesters("suggest_keywordSequence", f -> f.prefix(keyword)
                                            .completion(c -> c.field("keywordSequence")
                                                    .fuzzy(f1 -> f1.fuzziness("auto"))
                                                    .size(10))
                                    )),
                    SuggestIndex.class);
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
        //获取到查询结果
        List<String> list = new ArrayList<>();
        //定义一个方法
        list.addAll(this.getSuggestList(searchResponse, "suggest_keyword"));
        list.addAll(this.getSuggestList(searchResponse, "suggest_keywordPinyin"));
        list.addAll(this.getSuggestList(searchResponse, "suggest_keywordSequence"));
        //返回数据
        return list;
    }

    private Collection<String> getSuggestList(SearchResponse<SuggestIndex> searchResponse, String keyword) {
        //根据key获取 options
        List<Suggestion<SuggestIndex>> suggestionList = searchResponse.suggest().get(keyword);
        for (Suggestion<SuggestIndex> suggestIndexSuggestion : suggestionList) {
            List<String> list = suggestIndexSuggestion.completion().options().stream().map(option -> option.source().getTitle()).collect(Collectors.toList());
            return list;
        }
        return new ArrayList<>();
    }

    @Override
    public void lowerAlbum(Long albumId) {
        //利用es的api 进行删除数据：albuminfoindex -> es;
        albumIndexRepository.deleteById(albumId);
    }

    @Override
    public AlbumSearchResponseVo search(AlbumIndexQuery albumIndexQuery) {
        //1.先获取用户检索的DSL语句
        SearchRequest searchRequest = this.queryBuildDsl(albumIndexQuery);
        SearchResponse<AlbumInfoIndex> searchResponse = null;
        try {
            searchResponse = elasticsearchClient.search(searchRequest, AlbumInfoIndex.class);
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
        //赋值--private List<AlbumInfoIndexVo> lsit = new ArrayList<>();
        AlbumSearchResponseVo albumSearchResponseVo = this.parseResultData(searchResponse);
        //其他属性值
        albumSearchResponseVo.setTotal(searchResponse.hits().total().value());
        albumSearchResponseVo.setPageNo(albumIndexQuery.getPageNo());
        albumSearchResponseVo.setPageSize(albumIndexQuery.getPageSize());
        //计算总页数
        Long totalPages = albumSearchResponseVo.getTotal() % albumIndexQuery.getPageSize() == 0 ? albumSearchResponseVo.getTotal() / albumIndexQuery.getPageSize() : albumSearchResponseVo.getTotal() / albumIndexQuery.getPageSize() + 1;
        //Long totalPages1 = (albumSearchResponseVo.getTotal() + albumIndexQuery.getPageSize() - 1) / albumIndexQuery.getPageSize();
        albumSearchResponseVo.setTotalPages(totalPages);
        return albumSearchResponseVo;
    }


    private SearchRequest queryBuildDsl(AlbumIndexQuery albumIndexQuery) {
        //SearchRequest 本质上是DSL语句封装类
        SearchRequest.Builder searchReuqestBulider = new SearchRequest.Builder();
        //bool 查询
        BoolQuery.Builder boolQuery = new BoolQuery.Builder();
        //指定索引库
        searchReuqestBulider.index("albuminfo");
        if (!StringUtils.isEmpty(albumIndexQuery.getKeyword())) {
            //要根据关键词查询
            boolQuery.should(s -> s.match(m -> m.field("albumTitle").query(albumIndexQuery.getKeyword())))
                    .should(s -> s.match(m -> m.field("albumIntro").query(albumIndexQuery.getKeyword())))
                    .should(s -> s.match(m -> m.field("announcerName").query(albumIndexQuery.getKeyword())));
            //设置高亮
            searchReuqestBulider.highlight(h -> h.fields("albumTitle",
                    f -> f.preTags("<span style = color:red>")
                            .postTags("</span>")));
        }
        //分类id
        if (!StringUtils.isEmpty(albumIndexQuery.getCategory1Id())) {
            //根据一级分类id过滤
            boolQuery.filter(f -> f.term(t -> t.field("category1Id").value(albumIndexQuery.getCategory1Id())));
        }
        if (!StringUtils.isEmpty(albumIndexQuery.getCategory2Id())) {
            //根据二级分类id过滤
            boolQuery.filter(f -> f.term(t -> t.field("category2Id").value(albumIndexQuery.getCategory2Id())));
        }
        if (!StringUtils.isEmpty(albumIndexQuery.getCategory3Id())) {
            //根据三级分类id过滤
            boolQuery.filter(f -> f.term(t -> t.field("category3Id").value(albumIndexQuery.getCategory3Id())));
        }
        // 用户还可能通过属性和属性值过滤
        List<String> attributeList = albumIndexQuery.getAttributeList();
        if (!CollectionUtils.isEmpty(attributeList)) {
            // 循环遍历
            for (String attribute : attributeList) {
                // attribute = 属性id:属性值id
                String[] split = attribute.split(":");
                if (null != split && split.length == 2) {
                    //构建DSL语句
                    boolQuery.filter(f -> f.nested
                            (n -> n.path("attributeValueIndexList")
                                    .query(q -> q.bool(b -> b.must(m -> m.term(t -> t.field("attributeValueIndexList.attributeId").value(split[0])))
                                            .must(m -> m.term(t -> t.field("attributeValueIndexList.valueId").value(split[1])))))));
                }
            }
        }
        // 分页
        searchReuqestBulider.from((albumIndexQuery.getPageNo() - 1) * albumIndexQuery.getPageSize()).size(albumIndexQuery.getPageSize());
        //排序 综合排序[1:desc] 播放量[2:desc] 发布时间[3:desc]；asc:升序 desc:降序）
        String order = albumIndexQuery.getOrder();
        //判断是否有排序功能
        if (!StringUtils.isEmpty(order)) {
            //字符串分割
            String[] split = order.split(":");
            if (null != split && split.length == 2) {
                String field = "";
                switch (split[0]) {
                    case "1": //综合排序
                        field = "hotScore";
                        break;
                    case "2"://播放量排序
                        field = "playStatNum";
                        break;
                    case "3": //发布时间排序
                        field = "createTime";
                        break;
                }
                //设置排序字段
                String finalField = field;
                searchReuqestBulider.sort(s -> s.field(f -> f.field(finalField).order("asc".equals(split[1]) ? SortOrder.Asc : SortOrder.Desc)));
            }
        }
        //设置boo -->query中
        searchReuqestBulider.query(boolQuery.build()._toQuery());
        SearchRequest searchRequest = searchReuqestBulider.build();
        //打印DSL语句
        System.out.println("DSL:\t" + searchRequest.toString());
        return searchRequest;
    }

    private AlbumSearchResponseVo parseResultData(SearchResponse<AlbumInfoIndex> searchResponse) {
        //创建一个对象
        AlbumSearchResponseVo albumSearchResponseVo = new AlbumSearchResponseVo();
        //赋值--private List<AlbumInfoIndexVo> lsit = new ArrayList<>();
        List<AlbumInfoIndexVo> list = new ArrayList<>();
        //循环遍历
        for (Hit<AlbumInfoIndex> hit : searchResponse.hits().hits()) {
            //获取数据
            AlbumInfoIndex albumInfoIndex = hit.source();
            //创建一个对象
            AlbumInfoIndexVo albumInfoIndexVo = new AlbumInfoIndexVo();
            //属性赋值
            BeanUtils.copyProperties(albumInfoIndex, albumInfoIndexVo);
            //判断是否有高亮显示
            if (null != hit.highlight().get("albumTitle")) {
                String albumTitle = hit.highlight().get("albumTitle").get(0);
                //将高亮字段赋值给对象
                albumInfoIndexVo.setAlbumTitle(albumTitle);
            }
            //将对象添加到集合中
            list.add(albumInfoIndexVo);
        }
        //赋值
        albumSearchResponseVo.setList(list);
        //返回数据
        return albumSearchResponseVo;
    }

    @Override
    public List<Map<String, Object>> channel(Long category1Id) {
        //  map.put("baseCategory3",三级分类对象);   map.put("list",专辑集合列表);
        //  从mapkey 对应的value 入手分析实现过程!
        //  1.  通过一级分类Id获取到三级分类列表;
        Result<List<BaseCategory3>> baseCategory3ListResult = categoryFeignClient.findTopBaseCategory3(category1Id);
        //  判断：
        Assert.notNull(baseCategory3ListResult, "查询三级分类集合失败");
        //  findTopBaseCategory3 limit 7 --> 有七条数据; 1001 ... 1007
        List<BaseCategory3> baseCategory3List = baseCategory3ListResult.getData();
        Assert.notNull(baseCategory3List, "查询三级分类集合失败");
        //  通过这个集合获取到三级分类Id集合：
        List<Long> category3IdList = baseCategory3List.stream().map(BaseCategory3::getId).collect(Collectors.toList());
        //  通过三级分类Id查找三级分类对象; category3Id -> BaseCategory3;
        //  baseCategory3List-->Map(key=category3Id,BaseCategory3); Function.identity()：t -> t
        Map<Long, BaseCategory3> category3Map = baseCategory3List.stream().collect(Collectors.toMap(BaseCategory3::getId, Function.identity()));

        //  List<Long>-->List<FieldValue> FieldValue.of(BaseCategory3::getId)
        List<FieldValue> fieldValueList = baseCategory3List.stream().map(baseCategory3 -> FieldValue.of(baseCategory3.getId())).collect(Collectors.toList());
        //  专辑集合列表
        SearchResponse<AlbumInfoIndex> searchResponse = null;
        try {
            searchResponse = elasticsearchClient.search(s -> s.index("albuminfo")
                            .query(q -> q.terms(t -> t.field("category3Id")
                                    .terms(t1 -> t1.value(fieldValueList))))
                            .aggregations("agg_category3Id", a -> a.terms(t -> t.field("category3Id"))
                                    .aggregations("topSixHotScoreAgg", a1 -> a1.topHits(t1 -> t1.size(6)
                                            .sort(s1 -> s1.field(f -> f.field("hotScore").order(SortOrder.Desc)))))
                            )
                    ,
                    AlbumInfoIndex.class);
        } catch (IOException e) {
            throw new RuntimeException(e);
        }

        //  获取结果组装数据;
        Aggregate aggregate = searchResponse.aggregations().get("agg_category3Id");
        List<Map<String, Object>> list = aggregate.lterms().buckets().array().stream().map(bucket -> {
            //  存储数据；需要创建一个map集合：
            HashMap<String, Object> map = new HashMap<>();
            //  先获取key;
            long category3Id = bucket.key();
            //  存储第一个数据三级分类对象： baseCategory3.name
            map.put("baseCategory3", category3Map.get(category3Id));
            //  获取专辑集合列表;
            Aggregate topSixHotScoreAgg = bucket.aggregations().get("topSixHotScoreAgg");
            List<AlbumInfoIndex> albumInfoIndexList = topSixHotScoreAgg.topHits().hits().hits().stream().map(hit -> JSON.parseObject(hit.source().toString(), AlbumInfoIndex.class)).collect(Collectors.toList());
            map.put("list", albumInfoIndexList);
            //  返回map;
            return map;
        }).collect(Collectors.toList());
        //  返回数据
        return list;
    }

    @Override
    public void updateLatelyAlbumRanking() {
        //1. 获取所有一级分类数据·：select * from base_category1;
        Result<List<BaseCategory1>> baseCategory1Result = categoryFeignClient.findAllCategory1();
        Assert.notNull(baseCategory1Result, "查询一级分类集合失败");
        List<BaseCategory1> baseCategory1List = baseCategory1Result.getData();
        Assert.notNull(baseCategory1List, "查询一级分类集合失败");
        //获取排序的维度
        String[] split = rankingDimensionArray.split(",");
        //2.循环变量集合 调用es客户端生成dsl语句并执行获取结果集并放入缓存
        for (BaseCategory1 baseCategory1 : baseCategory1List) {
            // 获取一级分类Id
            Long category1Id = baseCategory1.getId();
            for (String ranking : split) {
                //调用es
                SearchResponse<AlbumInfoIndex> searchResponse = null;
                try {
                    searchResponse = elasticsearchClient.search(s -> s.index("albuminfo").query(q -> q.term(t -> t.field("category1Id").value(category1Id)))
                                    .sort(s1 -> s1.field(f -> f.field(ranking).order(SortOrder.Desc)))
                            , AlbumInfoIndex.class);
                } catch (IOException e) {
                    throw new RuntimeException(e);
                }
                // 获取集合列表
                List<AlbumInfoIndex> albumInfoIndexList = searchResponse.hits().hits().stream().map(Hit::source).collect(Collectors.toList());
                //将每次数据放入缓存中
                redisTemplate.opsForHash().put(RedisConstant.RANKING_KEY_PREFIX+category1Id,ranking,albumInfoIndexList);
            }
        }
    }

    @Override
    public List<AlbumInfoIndex> findRankingList(Long category1Id, String ranking) {
        //hget key field
        return (List<AlbumInfoIndex>) redisTemplate.opsForHash().get(RedisConstant.RANKING_KEY_PREFIX+category1Id,ranking);
    }
}
